Sukrit Singh, PhD

About me

I am a Damon Runyon Quantitative Biology and NCI Early Stage K99/R00 Postdoctoral Research Fellow at Memorial Sloan-Kettering Cancer Center (MSKCC). I work with John Chodera (with joint mentorship from Markus Seeliger) studying protein dynamics and their relevance in therapeutic resistance.
See my research page for details.

I am currently a NCI Early Stage K99/R00 Postdoctoral Research Fellow and Damon Runyon Quantitative Biology Fellow at Memorial Sloan-Kettering Cancer Center jointly mentored by John Chodera and Markus Seeliger.
I am a maintainer of the MDTraj python package, which is a widely used tool for analyzing molecular dynamics simulations.
I help with science communication efforts as a team member of the Folding@home project. This includes helping out with the twitter page as well as the twitch stream.

PhD in Computational and Molecular Biophysics with Greg Bowman
- Supported by a Millipore-Sigma Fellowship, my thesis work developed approaches to parse protein allostery (how distant amino-acids impact one another) from MD simulations to explain biological mechanism at Washington University in St. Louis (Greg is now at UPenn).
- Through Greg’s lab, I was also a memeber of the Folding@home project, particularly through the COVID Moonshot and exascale computing effort.
Bachelor’s (BA) double majoring in Chemistry and Biology from Washington University in St. Louis
- I trained jointly between Jay Ponder and Garland Marshall working on integrated approaches to design peptidomimetics and synthesize better spectroscopic spin labels
- I briefly trained in Joe Dougherty’s group as a freshman and sophomore